Cover Crops As Tools: How Soil Fungal Communities Can Be Prepared For Successful Prairie Restoration

Arbuscular mycorrhizal fungi (AMF) have major impact on plant survival, growth and plant community structure. Current land management practices utilize tilled corn-soybean rotations prior to restoration to control exotic weeds. Here, we investigate whether incorporating no-till practices and different cover crop combinations prior to prairie planting provide a more robust prairie restoration. Measuring fungal community changes occurring in old and conventional fields in comparison to a remnant prairie, we found that community composition of all fields was distinct. AMF richness differed among fields, but diversity did not. We will continue to monitor fungal community composition annually, measuring how cover crop treatments change soil biota

Autonomous sampling of ocean submesoscale fronts with ocean gliders and numerical model forecasting

Submesoscale fronts arising from mesoscale stirring are ubiquitous in the ocean and have a strong impact on upper-ocean dynamics. This work presents a method for optimizing the sampling of ocean fronts with autonomous vehicles at meso- and submesoscales, based on a combination of numerical forecast and autonomous planning. This method uses a 48-h forecast from a real-time high-resolution data-assimilative primitive equation ocean model, feature detection techniques, and a planner that controls the observing platform. The method is tested in Monterey Bay, off the coast of California, during a 9-day experiment focused on sampling subsurface thermohaline-compensated structures using a Seaglider as the ocean observing platform. Based on model estimations, the sampling “gain,” defined as the magnitude of isopycnal tracer variability sampled, is 50% larger in the feature-chasing case with respect to a non-feature-tracking scenario. The ability of the model to reproduce, in space and time, thermohaline submesoscale features is evaluated by quantitatively comparing the model and glider results. The model reproduces the vertical (~50–200 m thick) and lateral (~5–20 km) scales of subsurface subducting fronts and near-bottom features observed in the glider data. The differences between model and glider data are, in part, attributed to the selected glider optimal interpolation parameters and to uncertainties in the forecasting of the location of the structures. This method can be exported to any place in the ocean where high-resolution data-assimilative model output is available, and it allows for the incorporation of multiple observing platforms

Autonomous sampling of ocean submesoscale fronts with ocean gliders and numerical model forecasting

Submesoscale fronts arising from mesoscale stirring are ubiquitous in the ocean and have a strong impact on upper-ocean dynamics. This work presents a method for optimizing the sampling of ocean fronts with autonomous vehicles at meso- and submesoscales, based on a combination of numerical forecast and autonomous planning. This method uses a 48-h forecast from a real-time high-resolution data-assimilative primitive equation ocean model, feature detection techniques, and a planner that controls the observing platform. The method is tested in Monterey Bay, off the coast of California, during a 9-day experiment focused on sampling subsurface thermohaline-compensated structures using a Seaglider as the ocean observing platform. Based on model estimations, the sampling “gain,” defined as the magnitude of isopycnal tracer variability sampled, is 50% larger in the feature-chasing case with respect to a non-feature-tracking scenario. The ability of the model to reproduce, in space and time, thermohaline submesoscale features is evaluated by quantitatively comparing the model and glider results. The model reproduces the vertical (~50–200 m thick) and lateral (~5–20 km) scales of subsurface subducting fronts and near-bottom features observed in the glider data. The differences between model and glider data are, in part, attributed to the selected glider optimal interpolation parameters and to uncertainties in the forecasting of the location of the structures. This method can be exported to any place in the ocean where high-resolution data-assimilative model output is available, and it allows for the incorporation of multiple observing platforms

Remote Measurements of Tides and River Slope Using an Airborne Lidar Instrument

Tides and river slope are fundamental characteristics of estuaries, but they are usually undersampled due to deficiencies in the spatial coverage of water level measurements. This study aims to address this issue by investigating the use of airborne lidar measurements to study tidal statistics and river slope in the Columbia River estuary. Eight plane transects over a 12-h period yield at least eight independent measurements of water level at 2.5-km increments over a 65-km stretch of the estuary. These data are fit to a sinusoidal curve and the results are compared to seven in situ gauges. In situ– and lidar-based tide curves agree to within a root-mean-square error of 0.21 m, and the lidar-based river slope estimate of 1.8 × 10−5 agrees well with the in situ–based estimate of 1.4 × 10−5 (4 mm km−1 difference). Lidar-based amplitude and phase estimates are within 10% and 8°, respectively, of their in situ counterparts throughout most of the estuary. Error analysis suggests that increased measurement accuracy and more transects are required to reduce the errors in estimates of tidal amplitude and phase. However, the results validate the use of airborne remote sensing to measure tides and suggest this approach can be used to systematically study water levels at a spatial density not possible with in situ gauges

Satellites to Seafloor: Toward Fully Autonomous Ocean Sampling

Future ocean observing systems will rely heavily on autonomous vehicles to achieve the persistent and heterogeneous measurements needed to understand the ocean’s impact on the climate system. The day-to-day maintenance of these arrays will become increasingly challenging if significant human resources, such as manual piloting, are required. For this reason, techniques need to be developed that permit autonomous determination of sampling directives based on science goals and responses to in situ, remote-sensing, and model-derived information. Techniques that can accommodate large arrays of assets and permit sustained observations of rapidly evolving ocean properties are especially needed for capturing interactions between physical circulation and biogeochemical cycling. Here we document the first field program of the Satellites to Seafloor project, designed to enable a closed loop of numerical model prediction, vehicle path-planning, in situ path implementation, data collection, and data assimilation for future model predictions. We present results from the first of two field programs carried out in Monterey Bay, California, over a period of three months in 2016. While relatively modest in scope, this approach provides a step toward an observing array that makes use of multiple information streams to update and improve sampling strategies without human intervention

Task force report on revolving funds and business enterprises of the government [Appendix J]

Originally published by: Haskins & Sells

Ebola virus VP35 blocks stress granule assembly

Stress granules (SGs) are dynamic cytoplasmic aggregates of translationally silenced mRNAs that assemble in response to environmental stress. SGs appear to play an important role in antiviral innate immunity and many viruses have evolved to block or subvert SGs components for their own benefit. Here, we demonstrate that intracellular Ebola virus (EBOV) replication and transcription-competent virus like particles (trVLP) infection does not lead to SG assembly but leads to a blockade to Arsenite-induced SG assembly. Moreover we show that EBOV VP35 represses the assembly of canonical and non-canonical SGs induced by a variety of pharmacological stresses. This SG blockade requires, at least in part, the C-terminal domain of VP35. Furthermore, results from our co-immunoprecipitation studies indicate that VP35 interacts with multiple SG components, including G3BP1, eIF3 and eEF2 through a stress- and RNA-independent mechanism. These data suggest a novel function for EBOV VP35 in the repression of SG assembly

Global Glam and Popular Music: Style and Spectacle from the 1970s to the 2000s. Edited by Ian Chapman and Henry Johnson. London: Routledge, 2016. 300pp. ISBN 978-1-138-82176-7 (Review)

The cultural theorist Jon Stratton is a key inspiration in this account of the original British Glam Rock phenomenon and a sample of its global scions since the 1970s. Subsequent to Stratton's (1986) call for further critical work on this popular music formation, Stuart Hall (1992), in an unconnected piece, speculated on what the future of Cultural Studies, Stratton's disciplinary home, might look like. Hall's concern, analogous in some ways to Pierre Bourdieu's in the context of the contemporaneous French intellectual field, was predicated on a suspicion of what he read, particularly in terms of the North American interpretation of Cultural Studies, as a troubling shift towards theoreticism, the uncoupling of theory from practice in the pursuit of the institutionalisation of (sub)fields of scholarly enquiry, to adopt Bourdieu's spatial metaphor. Hall's plea was to embrace the ‘danger’ of the paradoxes arising from securing status (publish! career!), thus risking institutionally determined compromise, and maintaining a marginality that afforded greater autonomy – especially in terms of political agency beyond the academy – but necessarily meant forgoing a meaningful resource base, essential for agitating for social change. Popular Music Studies, in one of its intellectual trajectories a disciplinary subfield of Cultural Studies, is now well established and the authors of the 19 essays that form this collection can be forgiven the temptation to see in writing about Glam a way of securing its place within the legitimated subfield, with its attendant experts and gatekeepers, ripe for future revisiting. It also affords the opportunity to retreat into scholasticism, an unreflexive writing-for-writing's-sake disposition in which one doesn't move beyond reproducing one's own habitus, or second-nature worldview. The challenge the editors presumably set themselves at the moment of the book's genesis, then, was what usefully might be said about Glam and its subsequent mutations, 45 years after its original British discursive formation. Further, at least I would argue, how might such insights honour Hall's insistence that what makes popular culture, and by extension popular music, worth critiquing is the exposing of complex power relations played out in concrete settings: recognising the distinction between ‘understanding the politics of intellectual work and substituting intellectual work for politics’ (p. 286), as he put it.? In Chapman and Johnson's introductory remarks, the case is indeed made for Glam's importance: the vitality of its historical variants, understood in context, meant something profound to those performing and consuming it (p. 2; my emphasis). The editors approach this challenge by framing Glam historically and geographically, with the book divided into three parts: ‘Britain from the Early 1970s’; ‘Europe and North America’; and ‘Global Perspectives’

Satellites to seafloor : toward fully autonomous ocean sampling

Author Posting. © The Oceanography Society, 2017. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 30, no. 2 (2017): 160–168, doi:10.5670/oceanog.2017.238.Future ocean observing systems will rely heavily on autonomous vehicles to achieve the persistent and heterogeneous measurements needed to understand the ocean’s impact on the climate system. The day-to-day maintenance of these arrays will become increasingly challenging if significant human resources, such as manual piloting, are required. For this reason, techniques need to be developed that permit autonomous determination of sampling directives based on science goals and responses to in situ, remote-sensing, and model-derived information. Techniques that can accommodate large arrays of assets and permit sustained observations of rapidly evolving ocean properties are especially needed for capturing interactions between physical circulation and biogeochemical cycling. Here we document the first field program of the Satellites to Seafloor project, designed to enable a closed loop of numerical model prediction, vehicle path-planning, in situ path implementation, data collection, and data assimilation for future model predictions. We present results from the first of two field programs carried out in Monterey Bay, California, over a period of three months in 2016. While relatively modest in scope, this approach provides a step toward an observing array that makes use of multiple information streams to update and improve sampling strategies without human intervention.This work is funded by the Keck Institute for Space Studies (generously supported by the W.M. Keck Foundation) through the project “Science-driven Autonomous and Heterogeneous Robotic Networks: A Vision for Future Ocean Observation